Single-Cell Biology
Single-cell biology is the application of technologies that enable multi-omics investigation at the level of the building block of life, a single cell. By accelerating the development and application of single-cell tools and technologies, we can better understand how disease manifests in the body’s cells and tissues.
Single-cell biology is relevant to all cells in all tissues, and the field is generating data at a nearly unprecedented rate. Developing new analytical methods can help the scientific community store, analyze, and explore these rich data types.
The single-cell biology program has funded the following RFAs:
- Measuring Metabolism Across Scales, $8.6 million
- Single-Cell Biology Data Insights (Cycle 1, $5.2 million and Cycle 2, $4.9 million)
- Patient-Partnered Single-Cell Analysis of Rare Pediatric Disease, $10 million
- Ancestry Networks for the Human Cell Atlas, $27.9 million
- Pediatric Networks for the Human Cell Atlas, $34.2 million
- Single-Cell Analysis of Inflammation, $14 million
- Seed Networks for the Human Cell Atlas, $67.7 million
- Collaborative Computational Tools for a Human Cell Atlas, $14.8 million
- Pilot Projects for a Human Cell Atlas, $14.9 million
Single-Cell Technology
CZI’s Single-Cell Biology team builds tools to support and accelerate the work of biologists who are uncovering new insights about healthy and diseased cells using single-cell methods. Our platform, Chan Zuckerberg CELL by GENE (CZ CELLxGENE), allows scientists to access, analyze and annotate high-dimensional single-cell data at scale, so they can inform their experiments or quickly surface new insights that could lead to discoveries in treating disease. Learn more at czcellxgene.org and read our pre-print.
CZ CELL×GENE Discover
CZ CELLxGENE Discover provides scientists with fast, easy access to the largest collection of standardized single-cell data — 50+ million cells and growing. Scientists can access the data in different ways based on their research needs:
Census
Access any custom slice of standardized cell data available on CZ CELLxGENE Discover via R and Python.
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CellGuide
Explore an interactive encyclopedia of 700+ cell types that provides detailed definitions, marker genes, lineage, and relevant datasets in one place.
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Gene Expression
Uncover expression levels of any gene across datasets of cell types and tissues with advanced visualization tools.
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CZ CELL×GENE Annotate
CZ CELLxGENE Annotate allows scientists to collaboratively analyze and annotate single-cell data via web browser. The tool can be downloaded on any laptop or desktop device. Learn more here.
CZI’s Support for the Human Cell Atlas
How can we cure, prevent, or manage all diseases? The Human Cell Atlas (HCA) is a global, scientist-led collaboration to map and characterize all cells in the healthy human body as a resource for scientific studies of health and disease. We contribute to the HCA in several ways, including supporting development of a data coordination platform, building computational tools, and grantmaking that enables methods development and data generation. Learn more about the Human Cell Atlas.
Inflammation
Inflammation is a natural defense that helps our bodies maintain a healthy state, but chronic inflammation results in harmful diseases like asthma, arthritis, and heart disease. We fund scientists to study the role of inflammation in maintaining health and triggering diseases so that we can better diagnose, treat, and manage them.
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Interested in learning more about our work in single-cell biology? Get the latest information from the links below.
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